ATLAS beyond the Monarc model: from clouds to Grid.

The ATLAS Computing Model has been designed around the network topology described by Monarc more than 10 years ago. In the Monarc model, only a subset of all possible network links can be exploited: between the T0 and T1s, among T1s and between a T1 and T2s of the same "cloud". The pragmatic adoption of a simplified approach such as the cloud model (in respect of a more relaxed scenario interconnecting all T1s and T2s) was very beneficial during the commissioning of the ATLAS distributed computing system and essential in reducing the operational cost during the first two years of LHC data taking. Today, however, the ATLAS computing framework and the WLCG infrastructure reached a high level of maturity and the boundaries of the cloud model have become a limitation. Additionally, the network has evolved beyond the Monarc model and many sites of different clouds are now efficiently interconnected; the LHCONE initiative will boost those improvements in the next years. In this contribution we describe the various steps which ATLAS Distributed Computing went through in order to go beyond the cloud model and utilize grid resources in a more relaxed scenario. This will include the implementation of monitoring and testing tools, the commissioning effort and the development effort to benefit from the relaxed model. We will finally describe the gains of the new model in terms of resource utilization at grid sites.

  • Track: Distributed Processing and Analysis on Grids and Clouds
  • Author: Simone Campana
  • Co-authors: Fernando Harald Barreiro Megino, Cedric Serfon, Ikuo Ueda, Stephane Jezequel
  • Presentation Type: parallel

-- SimoneCampana - 20-Sep-2011

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Topic revision: r1 - 2011-09-20 - SimoneCampana
 
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